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rgcn_pytorch_implementation's Introduction

Graph Convolutional Networks for relational graphs

pytorch-based implementation of Relational Graph Convolutional Networks for semi-supervised node classification on (directed) relational graphs. it is pytorch version of https://github.com/tkipf/relational-gcn

Dependencies

  • Pytorch (0.4.1)
  • Python (3.6.3)
  • scipy (0.19.1)
  • numpy (1.14.5)

References

[1] M. Schlichtkrull, T. N. Kipf, P. Bloem, R. van den Berg, I. Titov, M. Welling, Modeling Relational Data with Graph Convolutional Networks, 2017

Cite

@article{schlichtkrull2017modeling,
  title={Modeling Relational Data with Graph Convolutional Networks},
  author={Schlichtkrull, Michael and Kipf, Thomas N and Bloem, Peter and Berg, Rianne van den and Titov, Ivan and Welling, Max},
  journal={arXiv preprint arXiv:1703.06103},
  year={2017}
}

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Contributors

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